Coding Interview Question Data Structures Algorithm




Algorithms and Data Structures Online Training


Job Aspirants


Online and Classroom Sessions


Week Days and Week Ends

Duration :

Daily 2 hrs during Weekdays

Algorithms and Data Structures Objectives

•How to apply Algorithms and Data Structures Script.
•Algorithms and Data Structures Script How to apply and use it.
•Become a better developer by mastering Algorithms and Data Structures fundamentals
•How to connect to multiple data sources with Algorithms and Data Structures.
•Learn from the basic and core guide to Algorithms and Data Structures
•Learn how to write tests for error handling in Algorithms and Data Structures.
•One stop solutions and step by step process for learning Algorithms and Data Structures
•you will be confident in your skills as a Developer / designer
•You will be able to develop top class apps and think like a programmer

coding interview question data structures algorithm Course Features

•You Get Real Time Project to practice
•Course delivery through industry experts
•Flexible batch timings – Weekend & weekdays.
•The courses range from basic to advanced level
•Assignments and test to ensure concept absorption.
•Project manager can be assigned to track candidates’ performance
•Training time :  Week Day / Week End – Any Day Any Time – Students can come and study
•We help the students in building the resume boost their knowledge by providing useful Interview tips

Who are eligible for Algorithms and Data Structures

•.Net,, C#, Angular, React, .Net Developer, Ui, Ui Development, Single Page Application, Sql, Product Development
•Java Developer, Php Mysql, Zend 2.0, java j2ee struts hibernate spring, iOS, Android, html
•Javascript, Node.Js, Algorithms, Web Technologies, Web Server, Cloud Computing, HP Data Protector, Technical Skills, Problem Solving
•Sap, Process Executive, Hadoop Developer, Hadoop Architect, Sap Srm/snc Testing, Sap Pp / Qm Testing, Sap Ewm Testing, Sharepoint Developer, T24 Technical And
•Software Development, Software Testing, Solution Design, software, Blueprism Developer, Rpa Developer


Length of Last Word
•Reverse String
•Longest Common Prefix
•String class
•Algorithm : Moore Voting : Majority Element
•Majority Element
•Fizz Buzz
•Evaluate Reverse Polish Notation
•Excel Sheet Column Number
•Palindrome String
•Valid Palindrome
•Remove All Adjacent Duplicates
•Remove All Adjacent Duplicates – 2
•Algorithm : Recursion
•Introduction to recursion
•Recursion and PMI
•Fibonacci Number
•Print Numbers
•Numbers of Digits
•Sum of Digits
•Count Zeroes
•Geometric Sum
•Modified Binary Search : Find First & Last Occurence
•Find First & Last Occurence
•Modified Binary Search : Search in Rotated Sorted Array
•Search in Rotated Sorted Array
•Modified Binary Search : Implement Square root
•Implement Square root
•Modified Binary Search : Find Minimum Element in Sorted Rotated Array
•Find Minimum Element in Sorted Rotated Array
•ZigZag Conversion
•Bit Manipulation : Single Number
•Single Number
•Greedy Algorithm : Jump Game
•Jump Game
•Greedy Algorithm : Jump Game – 2
•Jump Game – 2
•Reverse Words in a String
•Find Permutation
•Rotate Image
•Spiral Order Matrix
•Set Matrix Zero
•Search in Matrix
•Intersection of List
•Reverse a List
•Middle Node of List – Slow and Fast Pointer Approach
•Remove nth Node from end of list
•Add 2 number as list
•Partition List
•Cycle -2
•Valid Parenthesis
•Inorder Traversal
•PreOrder Traversal
•PostOrder Traversal
•Same Tree
•Symmetric Binary Tree
•Maximum Depth of Binary Tree
•Level Order Traversal
•Reverse Level Order Traversal
•ZigZag Level Order Traversal
•Minimum Depth of Binary Tree
•Lowest Common Ancestor
•Invert Binary Tree
•Validate Binary Search Tree
•Sorting Algorithms
•Selection Sort Algorithm ( Explain + Code )
•Bubble Sort Algorithm ( Explain + Code )
•Optimized Bubble Sort Algorithm (Explain + Code )
•Inbuilt Sort : Standard Template Library (STL)
•Searching Algo
•Linear Search Algorithm ( Explain + Code )
•Problem with Linear Search
•Binary Search Algorithm (Explain)
•Binary Search Algorithm (Code)
•Two Sum
•Two Sum II
•Data Structure : Priority Queues
•Introduction to Priority Queues
•Ways to implement Priority Queue
•Heap Introduction
•CBT and its Implementation
•Insert & Delete in Heaps
•Example Solution & Max Heap
•Implementation of Priority Queue – Part 1
•Implementation – Insert
•Remove Min Explanation
•Remove Min Solution & Complexity Analysis
•Inplace Heap Sort
•Inplace Heap Sort Solution
•Inbuilt Priority Queue
•K Sorted Array
•K smallest Element
•Inbuilt Min Priority Queue
•Data Structure : HashMap
•Introduction to Hash Map
•Inbuilt HashMap
•Remove Duplicates
•Bucket Array & Hash Function
•Collision Handling
•HashMap Implementation Insert
•HashMap Implementation Delete & Search
•Time Complexity & Load Factor
•Algorithm : Dynamic Programming
•Hint : Minimum Steps to 1
•Minimum Steps to 1 Brute Force Method
•Minimum Steps to 1 Memorization Method
•Minimization Steps to 1 Bottom Up Method